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Tracking erythrocytes in a 100 in glass capillary

dc.contributor.authorPinho, Diana
dc.contributor.authorGayubo, Fernando
dc.contributor.authorPereira, Ana I.
dc.contributor.authorLima, Rui A.
dc.date.accessioned2014-10-29T09:26:33Z
dc.date.available2014-10-29T09:26:33Z
dc.date.issued2011
dc.description.abstractImage analysis is extremely important to obtain crucial information about the blood phenomena in microcirculation. The current study proposes an automatic method for segmentation and tracking red blood cells (RBCs) flowing though a 100 μm Glass capillary. The original images were obtained by means of a confocal system and then processed in Matlab by using the Image Processing Toolbox. The automatic measurements obtained with the proposed automatic method are compared with a manual tracking plugin from ImageJ.por
dc.identifier.citationPinho, Diana; Gayubo, Fernando; Pereira, Ana I.; Lima, R. (2011). Tracking erythrocytes in a 100 in glass capillary. In Japan-Portugal Nano-Biomedical Engineering Symposium. p. 31-32. ISBN 978-4-904157-20-6por
dc.identifier.issn978-4-904157-20-6
dc.identifier.urihttp://hdl.handle.net/10198/11139
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectRed blood cellspor
dc.subjectImage processingpor
dc.titleTracking erythrocytes in a 100 in glass capillarypor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage32por
oaire.citation.startPage31por
oaire.citation.titleJapan-Portugal Nano-Biomedical Engineering Symposiumpor
person.familyNamePinho
person.familyNamePereira
person.familyNameLima
person.givenNameDiana
person.givenNameAna I.
person.givenNameRui A.
person.identifier.ciencia-id5214-ED0C-35E8
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.ciencia-idEE12-C3FB-349D
person.identifier.orcid0000-0002-3884-6496
person.identifier.orcid0000-0003-3803-2043
person.identifier.orcid0000-0003-3428-637X
person.identifier.ridF-3168-2010
person.identifier.ridH-5157-2016
person.identifier.scopus-author-id15071961600
person.identifier.scopus-author-id18437397800
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication02bf2dd9-33ed-4d87-b61d-ca39c51f8451
relation.isAuthorOfPublicatione9981d62-2a2b-4fef-b75e-c2a14b0e7846
relation.isAuthorOfPublication7b50c499-8095-4f4f-8b1b-fa7388e4ff62
relation.isAuthorOfPublication.latestForDiscoverye9981d62-2a2b-4fef-b75e-c2a14b0e7846

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